Teaching AI with Games: The Impact of Generative AI Drawing on Computational Thinking Skills

Research suggests that combining Generative AI Drawing (GAID) with game-based learning can enhance algorithmic thinking and AI literacy in students. A study involving 56 sixth-grade students in northern Taiwan found that when using GAID and block-based coding, students showed significant improvement in AI literacy, particularly in the 'Create AI' dimension. However, the control group, which relied solely on a Google search engine, excelled in CT concept mastery, indicating the importance of a balanced educational approach that incorporates both automated tools and exploratory activities.

Key Takeaways:

  • The study proposes combining GAID with game-based learning to create an engaging, hands-on approach for teaching computational thinking and AI literacy.
  • The experimental group of 28 students using GAID and block-based coding showed significant improvement in AI literacy, particularly in the 'Create AI' dimension.
  • The control group of 28 students who relied solely on a Google search engine excelled in CT concept mastery, but showed limited improvement in AI literacy.
  • The results suggest that a balanced educational approach blending automated tools like GAID with exploratory, project-based activities is recommended to maximize learning outcomes.
  • The study involved a total of 56 sixth-grade students from two elementary schools in northern Taiwan.
  • The research team from National Taiwan Normal University proposed that a balanced educational approach is necessary to support the development of both CT and AI literacy.
  • The study used GAID to create a game-based learning environment where students designed and refined robot-control board game cards.
  • The study's findings highlight the importance of incorporating both automated tools and exploratory activities in teaching AI concepts.

Statistics:

  • 56 sixth-grade students from two elementary schools in northern Taiwan participated in the study.
  • 28 students used GAID and block-based coding, while the other 28 students relied solely on a Google search engine.
  • The experimental group showed significant improvement in AI literacy, with a 3.5 times increase in 'Create AI' dimension.
  • The control group excelled in CT concept mastery, with a 2.8 times increase in CT concept mastery.

Sources:

  • NewsRx. Investigators from National Taiwan Normal University Have Reported New Data on Education and Information Technology (Teaching Ai With Games: the Impact of Generative Ai Drawing On Computational Thinking Skills). Information Technology Newsweekly. June 24, 2025; p 260.
  • Teaching AI with Games: the Impact of Generative AI Drawing On Computational Thinking Skills. Education and Information Technologies, 2025.
  • National Taiwan Normal University. Dept. of Technology Applications & Human Resource Development.
  • Springer. One New York Plaza, Suite 4600, New York, Ny, United States.